A Value-Based Lookalike is a Meta Ads audience built from a customer list that includes purchase value data, so Meta’s algorithm prioritizes finding users who resemble your highest-spending customers rather than all customers equally. Standard lookalikes treat all source audience members the same; value-based lookalikes weight the source list by revenue contribution. The result is an audience more likely to make high-value purchases. This audience type is particularly powerful for e-commerce advertisers and affiliate marketers promoting high-ticket offers where customer lifetime value varies significantly.